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April 5, 2026Cancer Research0 citations

Abstract 1826: Exposure-response analysis and quantitative systems pharmacology modeling for an optimal dose selection of surovatamig in patients with DLBCL.

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XZXu (Sue) ZhuDODamilola OlabodeMLMassimo Lai

Key Points

  • To identify the optimal dose of surovatamig for patients with relapsed or refractory diffuse large B-cell lymphoma (DLBCL) using various pharmacological modeling techniques.
  • Patients received escalating doses of surovatamig via IV infusion in different dosing schedules.
  • Population pharmacokinetics (popPK) modeling was performed using NONMEM to analyze serial sampling data.
  • Exposure-response relationships were characterized for overall and complete response rates based on pharmacokinetics and efficacy data.
  • Quantitative systems pharmacology (QSP) modeling linked pharmacokinetic data to trimeric complex formation at the tumor site.
  • Surovatamig demonstrated a mean half-life of approximately 11 days.
  • A dose-proportional increase in drug exposure was noted with higher doses.
  • Effective dose was suggested to be 25 mg, showing increased overall and complete response rates without significant toxicity.
  • No major covariates affected pharmacokinetic parameters except body weight.

Abstract

Abstract Introduction: Surovatamig (formerly AZD0486) is a novel, IgG4 fully human CD19xCD3 bispecific T-cell engager that is being evaluated in an ongoing phase 1 study (NCT04594642) in patients (pts) with relapsed or refractory (R/R) B-cell non-Hodgkin lymphoma (B-NHL). Here, we present our quantitative approaches for determining an optimal dose for surovatamig in pts with R/R diffuse large B-cell lymphoma (DLBCL) with population pharmacokinetics (popPK), exposure-response (ER) analysis, and quantitative systems pharmacology (QSP) modeling. Methods: Pts with R/R B-NHL received escalating doses of surovatamig IV with fixed dosing, single step-up dosing (SUD), or double SUD schedules in cycle 1, followed by target dose (TD) every 2 weeks in 28-day cycles for up to 24 months. PK data from serial sampling was used to develop a popPK model in NONMEM®. ER relationships between surovatamig PK and overall response rate (ORR) or complete response rate (CRR) were characterized in pts with DLBCL. Further, QSP modeling was developed to link the surovatamig PK to the trimeric complex formation. A total of 185 pts with all histology (DLBCL, follicular lymphoma FL, and mantle cell lymphoma/marginal zone lymphoma) were analyzed for PK and safety, and 100 pts with DLBCL were analyzed for efficacy (based on data cutoff of August 2025). Results: Following IV infusion, the observed mean half-life of surovatamig is ∼11 days across the dose cohorts after the cycle 1 day 15 dose. A dose-proportional increase in exposure is observed across the dose ranges (≥0.27 mg). Surovatamig PK was best described by a 2-compartment PK model with linear clearance and was comparable in pts with FL and DLBCL. No covariates (eg, disease type, race, age) other than body weight were identified to have a significant impact on PK parameters (clearance and volume of distribution). Exposure-efficacy analysis in pts with R/R DLBCL showed higher probability of ORR and CRR with increasing exposures (eg, Cavgcycle1 Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 1826.

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Zhu et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd3da79560c99a0a31c7https://doi.org/10.1158/1538-7445.am2026-1826
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